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Pattern of Influenza Virus in Denpasar During Influenza-like Illness

Survey in 2009-2011

DWIJA, IBN.PUTRA

1

, BUDAYANTI SRI

1

, HANDAYANI.KOMANG

2

,

HIDAYATI.WAHYU

2

, ASTUTI.KETUT NANIK

2

, SUKRAMA IDM

1

,

DARWINATA, A.E

1

, AGUS SOMIA

3

, SUSILA UTAMA

3

, TUTI

PARWATI

3

,INAYANTI BISMA

4

, PUTRI TJATERA

5

1

Department of Microbiology, Faculty of Medicine, Udayana University, 2Biology Molecular Unit, Faculty of Medicine Udayana University,3Tropical Infection Division of

Internal medicine Faculty of Medicine Udayana University/RSUP Sanglah,4Clinical Pathology Faculty of Medicine Udayana University/RSUP Sanglah,5Denpasar Selatan I

Primary Health Care Centre

Abstract

Background

Influenza is considered one of the most important infectious diseases. Complicating the global burden is emergence of new strain of virus during H1N1 outbreak, we now experiencing of the 1st pandemic in this century. Although Influenza illness is usually mild, but changes in their genetic material will create more pathogenic virus than its origin. The aim of this study is to know the seasonal pattern of Influenza in Denpasar during actively Influenza-like Illness surveys in 2009-2011. Subject of this study was collected in two group, for the surveillance cases, sample was collected from Denpasar Selatan I Primary Health Care Center. While for the outbreak, sample was collected from Sanglah Hospital Denpasar. Sample was collected from the nasal and throat specimens. The specimens were transported using Hank medium. In the laboratory, specimens were extracted using Invitrogen Extraction Kit. PCR used was Superscript III Platinum One-Step qRT/PCR System Real-time PCR. For the surveillance specimen, we determined Influenza A and Influenza B type and H1 seasonal, H3 and H5 subtype. While for the outbreak we only determine the H5 subtype for Avian Influenza Outbreak and H1 novel for Swine Flu Outbreak.

During August 2009 until June 2011 period we collected 832 specimens. In a period of August 2009-June 2010, a total 381 specimen was collected, among them 25 (7%) was positive for Flu A, 8 (2%) positive for Flu B and 13(3%) positive for H3 while the 335 (88%) was included in non subtype. On the other hand during July 2010 until June 2011, a total of 451 specimens were collected, 17(3,8%) was positive flu A, 25(5,5%) Positive flu B, 2(0,4%) positive H3 and 7 (1,6%) positive for H1. During 2009-2010 Flu A was detected fluctuated, while flu B detected only in June and H3 detected highest in April 2010. During 2010-2011 Flu A was detected in January, 2011, Flu B was detected highest in September 2010 and Swine flu (H1) detected highest in March,2011. H1 and H5 was not detected in this survey period.

We can conclude that during this 2 years period of survey Flu B was found increased during 2010-2011, and Swine flu (H1) only found during outbreak in 2010-2011.

(2)

INTRODUCTION

The emergence of pandemic influenza, whether bird flu (H5N1) or swine flu (H1N1)

in Indonesia in 2006 and 2009, making the government and health department are

increasingly recognizing that influenza is not just a common disease but also can be very

deadly.

Influenza is a disease caused by a virus belonging to the family Orthomyxoviridae

(Murphy,at all.,2001). Based on differences in the matrix protein (M protein), influenza

viruses can be divided into several types of influenza type A, B and C. Influenza type A is

further subdivided into several subtypes based on antigenic differences in the external

glycoprotein that called Haemagglutinin (HA) and Neuraminidase (NA). Until now there

are at least 15 types of HA and 9 different NA types have known. However, only a few

subtypes of influenza A, that cause disease in humans such as H1-, H3- and H5- subtype.

The N subtypes that usually fatal such as N1- and N21. Indonesia has an experience of

Influenza outbreak in 2006 and 2009 that cause by H5N1 and H1N1 subtype.

Clinical manifestations of influenza that is often similar to respiratory diseases

caused by other pathogens, causing the disease was difficult to diagnose when only based

on clinical symptoms. To overcome this difficulty, several methods have been developed,

such as viral genetic isolation, antigenic examination, and molecular biology. Each of these

diagnostic methods has its own drawbacks and advantages as can be seen from Table 1.

Tabel.1. Comparison of Influenza virus diagnostic method.

Rapid and accurate method of diagnosis would help the clinician to perform the right

and appropriate therapy and also help the health officer to monitoring and surveillance of ILI

cases in community. This is supported by the program that is currently developed by the

Agency for Health Research and Development (Balitbangkes) Ministry of Health Republic of

(3)

Since 2007, Section of Microbiology Faculty of Medicine, Udayana University was

appointed as the Regional Influenza Laboratory for Bali and Nusa Tenggara. By forming the

Regional Laboratory, the government expects to have sufficient data for the spread of

influenza cases in Indonesia.

The purpose of this study was to determine the frequency of influenza viruses from

specimens that was collected from the patient with ILI symptom (Fever > 100F, with cough

and/or Shore throat) who comes to the Denpasar Selatan 1 Primary Health Centre and RSUP

Sanglah Denpasar.

METHODS

This study is a descriptive study. The study was conducted at the Molecular Biology

Laboratory Faculty of Medicine, Udayana University from August, 2009 until June 2011.

The specimens were collected from Denpasar Selatan 1 Primary Health Centre and Sanglah

Hospital. The samples were divided into 2 groups: samples derived from surveilance cases

and samples from outbreak cases. For the case of surveillance, samples derived from patients

who has ILI symptoms and went to Denpasar Selatan 1 Primary Health Centre and for the

case of an outbreak, a sample derived from Sanglah Hospital Denpasar. The specimen was

taken from the nose and throat swabs, then placed into transport medium of Hank's media and

further processed in the laboratory.

RNA ISOLATION

For surveillance specimens, specimens were extracted using the QIAmp ® Viral RNA

Mini Kit (Qiagen) using outbreak specimens while the Pure Link ™ Viral RNA / DNA Mini

Kit (Invitrogen).

Real-time PCR

Primers used for PCR process was provide by Balitbangkes according to CDC

Atalanta protocol. For surveillance specimens Real-time PCR was used AgPath-ID ™ One

-Step RT-PCR Kit (Ambion), while for outbreak specimens used Superscipt III Platinum

One-Step qRT / PCR System Real-time PCR Kit (Invitrogen). Differences reagents used for

each of these specimens affect the cycle time used in the PCR process. In surveillance

specimens, PCR tube already containing 25μ L PCR mix and mold incorporated into real-time

PCR machine IQ-5 (Biorad) with a cycle of reverse transcriptase (RT) at 50 ° C for 30

(4)

denaturation and annealing respectively at 95 ° C for 15 sec and 55 ° C for 30 seconds as

many as 45 cycles. The difference lies in the process of pre-cycle denaturation where for the

outbreak specimen took 2 minutes within the same temperature.

For examination of Surveillance specimens, we determined the type of Influenza A

and Influenza B, followed by examination of seasonal subtype H1, H3 and H5. As for the

specimens’ outbreak, we just check for the H5 subtype of bird flu outbreaks and the H1

subtypes for novel swine flu outbreak.

RESULTS AND DISCUSSION

During the surveillance period (August 2009-june 2011), there are a total of 851

specimens was collected. Three hundred eighty one specimens were collected during August

2009- June 2010, while 451 specimens collected during July 2010–June 2011. Among them

total of 40% was female and 60% male, which age range was from 1 month–49 years old.

Graph 1. The number of ILI Surveillance Specimen August 2009-July 2010

Among 381 specimen was collected, during surveillance of ILI cases in August

2009-July 2010, 25 (6,6%) positive Flu A and 8 (2,1%) positive for flu B. the high number of

specimen was collected in first four month of 2010. Increasing the number of cases was due

to in this month was rainy season. In January and February 2010, there is no samples was

collected, this is not due to no cases of ILI during this 2 month, but because of technically

(5)

Graph.2. The Number of ILI Surveillance Specimen July 2010–June 2011

Seventeen (3,8%) of 451 specimen collected during July 2010 – June 2011 was

positive Flu A and as much as 25 (5,5%) specimen was positive Flu B. One case of Flu B

was isolated in 2011. Data of flu B in 2011 isn’t a representative of Flu B in a year,

because fluctuation of cases is always changes. The interesting data is a pattern when the

Flu A isolated there is no Flu B was found and vice versa. This situation indicating that in

a year one of them will dominant.

During this two year surveillance, specimen positive for Flu A was found all the year,

most often isolated in March to June each year. On the other hand specimen which is

positive for flu B, was found in June–October 2010. The association between season and

pattern of Influenza A and B hasn’t understood yet, because we don’t analysis that

association. This result is in line with data obtained in Jakarta and surrounding areas.

Djoko et al (2009), using an different antisera and hemaglutination inhibition found that

influenza A was dominantly, and small number of influenza B. From research conducted

by Agrawal et al (2009), data from surveillance of children in India acquired 11.09% of

influenza A and influenza B 5.41% of total 1091 samples.

Hadzhiolova et al (2006) in Bulgaria in 2004/2005, obtained 77 clinical samples

consisting of 13% of positive influenza A subtype H3N2 and 24.6% of positive influenza

subtype H1N1. But to note, that in this research in Bulgaria, Hadzhiolova still using the

(6)

Graph 3. Influenza Surveillance Data in Bali the period August 2009-June 2011

From 851 specimen that we have had analysis, among them 7% positive for Flu A, 3%

positive for H3, and 2 % positive for Flu B and 88% was no-subtype. The high number for

no-genotype can be due to the sensitivity of the method that can use to detect, the reagent that

use was in appropriate. Upper respiratory infection can be caused by bacteria, virus or fungi.

Most of them is virus. In this research we just identified for Influenza virus, in negative

specimen there is might be virus other than influenza virus (Rhinovirus, parainfluenza virus,

and respiratory sinctial virus) or mutated influenza virus.

(7)

Over the past two decades, virus isolation and serology have been the mainstay of the

clinical laboratory for diagnosing respiratory virus infections. A variety of serological test

including the hemagglutination inhibition (HAI) test, complement fixation, and enzyme

immunoassay (EIA) were used for testing paired acute- and convalescent-phase sera for

diagnosing viral infections. Currently,viral culture usually in combination with

immunofluorescence(IF) is the “gold standard” for laboratory diagnosis.However, it is not a

rapid diagnostic test, and therefore, its clinical value is limited. Now days Nucleic Acid based

diagnostic was use to detected respiratory viral infection (Mahony et al.,2008). Real-Time

PCR methode in combination with cell culture increase the sensitivity to detected respiratory

viral infection (Strorch.,2003)

REFERENCES

1. Agrawal AS et al (2009). Comparative Evaluation of Real-Time PCR and Conventional

RT-PCR during a 2 year Surveillance for Influenza and Respiratory Syncytial Virus

Among Children with Acute Respiratory Infection in Kolkata India, Reveals a Distinct

Seasonality of Infection. Journal of Medical Microbiology; 58;p.1616-1622.

2. Hadzhiolova T, Pavlova S, Zlatko K, Rossita K (2006). Detection and Identification of

Human Type A nfluenza Viruses by The Reverse Transcriptase-Polymerase Chain

Reaction in Bulgaria. Labmedicine. Vol.37(3); 161-165.

3. Murphy BR, Webster RG.2001. Orthomyxoviruses. In: BN Fields and DM Knipe

(ed.), Virology, 4nd ed. New York: Raven Press,1091–1152.

4. Detection of Respiratory Viruses by Molecular Methods.2008. Clinical Microbiology

Review.,p.716-747

5. Storch, G. A. 2003. Rapid diagnostic tests for influenza. Curr. Opin. Pediatr.15:77–84.

6. Yamada A, Imanishi J, Nakajima E, et al.1991. Detection of influenza viruses in throat

swab by using polymerase chain reaction. Microbiol Immunol.;35:259-265.

7. Yuwono D dkk (2008). Epidemiological Study of Influenza in Jakarta and Surrounding

Referensi

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